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Showing 1 to 15 of 184 results Save | Export
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Nobuyuki Hanaki; Jan R. Magnus; Donghoon Yoo – Journal of Statistics and Data Science Education, 2023
Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and provide examples and tentative explanations of a number of statistical…
Descriptors: Statistics, Statistics Education, Epistemology, Statistical Analysis
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Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
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Haberman, Shelby J. – Journal of Educational Measurement, 2020
Examples of the impact of statistical theory on assessment practice are provided from the perspective of a statistician trained in theoretical statistics who began to work on assessments. Goodness of fit of item-response models is examined in terms of restricted likelihood-ratio tests and generalized residuals. Minimum discriminant information…
Descriptors: Statistics, Goodness of Fit, Item Response Theory, Statistical Analysis
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Cashing, Doug – Teaching Statistics: An International Journal for Teachers, 2018
This article offers some less-than-rigorous explanations for the notion of degrees of freedom, and for the particular formulae to be used when computing those values.
Descriptors: Computation, Statistics, Statistical Analysis, Mathematical Formulas
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Allanson, Patricia E.; Notar, Charles E. – Education Quarterly Reviews, 2020
This article discusses the basics of the "4 scales of measurement" and how they are applicable to research or everyday tools of life. To do this you will be able to list and describe the four types of scales of measurement used in quantitative research; provide examples of uses of the four scales of measurement; and determine the…
Descriptors: Statistical Analysis, Measurement, Statistics, Qualitative Research
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Liu, Xiaofeng Steven; Shin, Hyejo Hailey – Teaching Statistics: An International Journal for Teachers, 2020
Computer simulation can be used to demonstrate why the unbiased sample variance uses degrees of freedom (n-1). This is first demonstrated for sampling from a normal random variable, and in additional simulations for some selected non-normal random variables, namely, chi-square and binomial.
Descriptors: Computer Simulation, Statistics, Sampling, Statistical Bias
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Bosman, Lisa B.; O'Brien, Steve; Shanta, Susheela; Strimel, Greg J. – Technology and Engineering Teacher, 2018
The purpose of this article is to provide educators with resources to help students establish a deeper understanding of the application and role of statistical analysis within the design and innovation process. Quantitative analyses are often taught and applied through design activities, especially during testing or experimenting phases of design.…
Descriptors: Design, Engineering Education, Statistical Analysis, Statistics
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Meyer, Joerg M. – Teaching Statistics: An International Journal for Teachers, 2017
Stochastic independence is not an easy notion. Because it is part of the probability structure, it can have some surprising non-properties, which is beneficial for teachers and students to see illustrated. Neither is the relationship to causal independence an easy one.
Descriptors: Probability, Statistics, Statistical Analysis
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Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Clinicians depend on the accuracy of research in the speech, language, and hearing sciences to improve assessment and treatment of patients with communication disorders. Although this work has contributed to great advances in clinical care, common statistical misconceptions remain, which deserve closer inspection in the field. Challenges…
Descriptors: Statistics, Speech Language Pathology, Research, Statistical Analysis
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Watson, Jane; Callingham, Rosemary – Australian Mathematics Education Journal, 2020
The current COVID-19 situation has seen a plethora of data, statistics and predictions presented to society--some making incredible claims. The authors are concerned that statistics and probability still receive inadequate attention in the classroom, leaving students without the statistical literacy needed to make sense of the claims being made.…
Descriptors: Statistics, Mathematics Education, Curriculum, Knowledge Level
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Li, Ruoxi – Journal of Political Science Education, 2021
The statistical computing and graphics software R, despite its many advantages, is sometimes considered too complex to be introduced to undergraduate political science majors. In this article I showed that when taught appropriately, R could be a valuable and well-received aspect of an introductory research methods course. It is important to teach…
Descriptors: Introductory Courses, Research Methodology, Undergraduate Students, Student Attitudes
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Rosenthal, Jeffrey S. – Teaching Statistics: An International Journal for Teachers, 2018
This article advocates that introductory statistics be taught by basing all calculations on a single simple margin-of-error formula and deriving all of the standard introductory statistical concepts (confidence intervals, significance tests, comparisons of means and proportions, etc) from that one formula. It is argued that this approach will…
Descriptors: Statistics, Introductory Courses, Computation, Statistical Analysis
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Montangero, Simone; Vittone, Francesca; Olderbak, Sally; Wilhelm, Oliver – Teaching Statistics: An International Journal for Teachers, 2018
We present a versatile scenario to introduce students to statistics: the test that spaghetti sticks only if sufficiently done. The statistical analyses can be performed at different levels of complexity and formal correctness, adapting it to the students' age.
Descriptors: Teaching Methods, Statistics, Statistical Analysis, Difficulty Level
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Baumer, Benjamin S.; Bray, Andrew P.; Çetinkaya-Rundel, Mine; Hardin, Johanna S. – Journal of Statistics Education, 2020
We designed a sequence of courses for the DataCamp online learning platform that approximates the content of a typical introductory statistics course. We discuss the design and implementation of these courses and illustrate how they can be successfully integrated into a brick-and-mortar class. We reflect on the process of creating content for…
Descriptors: Statistical Analysis, Statistics, Introductory Courses, Teaching Methods
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Wild, Chris J. – Statistics Education Research Journal, 2017
"The Times They Are a-Changin'" says the old Bob Dylan song. But it is not just the times that are a-changin'. For statistical literacy, the very earth is moving under our feet (apologies to Carole King). The seismic forces are (i) new forms of communication and discourse and (ii) new forms of data, data display and human interaction…
Descriptors: Statistics, Data, Data Analysis, Influence of Technology
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